True Argentina RDD Sample for National Representative Data

Our Argentina RDD sample is the backbone of global telephone surveys, opinion polling and social research. The industry Gold Standard RDD Sample is used by over 350 Think Tanks, government agencies, fieldwork agencies and corporate clients.

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Brand Name : Brand Short Description Type Here.
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Brand Name : Brand Short Description Type Here.
Brand Name : Brand Short Description Type Here.
Brand Name : Brand Short Description Type Here.
RDD Portfolio

Going beyond random sampling for Argentina

Our random sampling is backed by a transparent methodology and enhanced filtering for fieldwork efficiency.

Mobile RDD Sample

Expand your reach with an updated mobile RDD sample including provider information covering every single phone number in Argentina

Dual-Frame RDD sample for Argentina

The mixed Dual-Frame approach mode combines both landline and mobile and is designed to reduce bias data, increase the response rate and reach a larger audience. In some countries such as Argentina, older respondents or females can be reached easier this way.

 

Landline RDD Sample

Sample Solutions provides a fully geo-coded landline RDD sample with removed business listings to the market research industry. Keep in mind that the landline share has been declining in Argentina.

150

RDD records delivered

190

Countries Covered

350

RDD Projects annually

Full Coverage
Full Coverage
Coverage

Our Argentina RDD sample connects with 42 million individuals for your research.

In Argentina, the use of landline numbers has been steadily decreasing over the years as more and more people rely on mobile phones for their communication needs. According to data from the National Communications Agency (ENACOM), mobile phone penetration in Argentina has reached an impressive 112.49%, meaning there are more mobile phone lines than there are people in the country. This statistic clearly indicates the widespread use and reliance on mobile phones among the Argentine population. The decline in landline usage can be attributed to a variety of factors, including the convenience and mobility of mobile phones, as well as the increasing availability of affordable mobile phone plans. Additionally, the quality and coverage of mobile networks in Argentina have improved significantly in recent years, making mobile phones a more reliable option for communication. Overall, it is evident that mobile phones are more frequently used than landline numbers in Argentina. With the continued advancements in technology and the increasing affordability of mobile phones, it is likely that this trend will continue in the years to come.

Sample Solutions for methodological sampling

The RDD sample Argentina provided comes with full country information such as frame coverage, potential bias or mobile & landline access data.

Fast Turnaround Time

Fast Turnaround Time

90% of our RDD orders are delivered within 24 hours.

Open Methodology

Open Methodology

No blackbox – the sample is fully documented.

Full Sampling Info

Full Sampling Info

Frame sizes, coverage data, population data is available.

Full coverage for Argentina

Full coverage for Argentina

Our Argentina RDD sample provides access to every mobile respondent in the country.

Close to full coverage

Close to full coverage

Most countries have close to full phone coverage.

Full Probability

Full Probability

We do not work with lists – it is true probability sampling.

Testimonials

Sample some of our Testimonials

Past Projects

Sampling coverage when other modes fail.

Some of our previous projects included surveys in Crimea, Greenland, data collection in Syria as well as Afghanistan. We can sample when other data collection modes are close to impossible. With all these countries covered, you understand why sampling for Argentina is not an issue for us.

europe map
ESRA Presentation

Big Data Matching

Using Big Data applications to Decrease The  Coverage Error and Sample Bias in European Establishment Surveys

AAPOR Poster

IVR Phone Surveys

Screened mobile sample for IVR surveys in developing countries 2020 Paper – The case of Sri Lanka and Ecuador

WAPOR Presentation

From CAPI to CATI

By looking at Greece and comparing a Face-2-Face and CATI study using our RDD Dual-Frame RDD Sample

Recognized by global standards

A yearly re-certification for ISO 27001, ISO 20252 in combination with a dedicated policy document, sampling methodologies and quality structure ensures enterprise level sampling quality.

RDD Sample Process

Our Argentina RDD Sample Generation

Over the years, we built a comprehensive RDD frame for Argentina to fit various needs for conducting international projects and we have worked hard to earn a trusted network of customers all based on a solid methodology.

Sampling Frame

The sampling frame for Argentina consists of every single possible number combination.

Raw RDD Generation

The raw RDD sample is created based on clients’ specifications (NatRep or customized)

Number Processing

All numbers are screened and the disconnected numbers are removed from the sample.

Post-Processing

Post-processing involves adding necessary strata inspection and quality checks.

Frequently Asked Questions

Got any questions about sampling for Argentina using RDD? We’re here to help

A respondent asked me where the data came from?

As data controller you can provide them with a link to our data subject request and we can pick it up from there.

Which other countries apart from Argentina do you cover?

Our database is global in terms of coverage. However through Western Europe and North America we have the best in-country coverage and depth of data.

Do named contacts come with the company data?

We generally have the owner or Managing Director as contact. If needed we can add other direct contact people that are relevant for your research.

How long is the delivery time?

Turnaround time is usually 2-3 working days.

I have a file but miss some data points - can you help?

No problem, take a glance at our data enrichment options which can help you to enrich missing data points.

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